Sriniwas Paliwal
Co-Founder & Instructor, The ML Hub
Sriniwas Paliwal is the co-founder of The ML Hub. He secured AIR 90 in GATE CS 2019 and completed his M.Tech from IIT Bombay, specializing in Neural Networks. Currently a Senior Software Engineer at Enphase Energy, he teaches Calculus & Optimization and Artificial Intelligence in The ML Hub's GATE DA course and writes most of the preparation guides on this blog.
Articles by Sriniwas Paliwal
GATE DA Syllabus 2027: Subject-Wise Weightage
Full GATE DA syllabus 2027 with subject-wise weightage: DSA 21 marks, Maths 34, ML & AI 22. Official topics, exam pattern & a prep plan by GATE toppers.
What is GATE DA? Full Form, Pattern & Scope
GATE DA full form: Data Science & Artificial Intelligence. Exam pattern (65 Qs, 100 marks), eligibility, negative marking, syllabus & career scope explained.
GATE 2027 Eligibility: Age Limit & Attempts
GATE 2027 eligibility explained: no age limit, unlimited attempts, no minimum percentage. Eligible degrees, 3rd-year rule, documents & GATE DA eligibility.
Best Online Courses for Data Science, Machine Learning & GATE DA in 2027
Find the best online courses for data science, machine learning, and GATE DA preparation in 2027. Compare top online courses, structured coaching programs, test series, and mentorship options to advance your career.
Artificial Intelligence GATE DA: Syllabus & Books
AI for GATE DA 2027: search (BFS/DFS/A*), propositional & first-order logic, Bayesian nets — Russell & Norvig + Rosen logic plan.
Calculus & Optimization GATE DA: 2027 Prep Plan
Calculus & optimization for GATE DA 2027: short syllabus, single-variable focus, Taylor series, maxima-minima — high-accuracy prep.
DBMS & Warehousing GATE DA: Syllabus, Books, PYQs
DBMS & data warehousing for GATE DA 2027: ER, SQL, normal forms, OLAP, star schema — Korth + curated warehousing strategy.
GATE DA Books 2027: Subject-Wise Topper Picks & What to Skip
Find the best GATE DA 2027 books by subject: Ross, Strang, CLRS, Korth, Géron, Russell & Norvig, plus what to skip and how toppers used them.
Linear Algebra GATE DA: Syllabus, Books, PYQs 2027
Linear algebra for GATE DA 2027: matrices, eigenvalues, SVD, projections, quadratic forms — Strang-based plan, PYQs & mistakes.
Machine Learning GATE DA: Syllabus, Books & PYQs
Machine learning for GATE DA 2027: supervised, unsupervised, neural nets, bias-variance — Hands-On ML plan + model-comparison tables.
Probability & Stats GATE DA: Syllabus, PYQs, Books
GATE DA probability & statistics 2027: official syllabus, Bayes, distributions, z/t/chi-square tests, Sheldon Ross prep plan & PYQs.
Python & DSA GATE DA: PYQs, Books, What to Skip
Python & DSA for GATE DA 2027: output-prediction style, sorting, graphs, hash tables — what to study, what to skip (e.g. DP).
Gate Exam: Complete Guide to Eligibility, Syllabus, and Preparation for 2027
Everything you need to know about the Gate Exam — eligibility, syllabus, Gate DA vs CS, exam dates, and a step-by-step preparation strategy for 2027.
The Complete Guide to GATE DA Course: Syllabus, Fees & How to Choose the Best One
Find the best gate da course for 2027 with full syllabus coverage, fee comparison, and expert tips to crack GATE Data Science & AI with a high score.
M.Tech in Data Science: Programs & Eligibility
Top M.Tech Data Science programs at IITs, GATE DA eligibility, syllabus, fees and career scope — how to pick the right program for GATE DA 2027 aspirants.
Data Science Career Path in 2026: Opportunities, Skills and Salaries
A Data Science Career in 2026 offers strong growth, competitive salaries, and diverse roles. Learn key skills, pathways, and how GATE DA opens top opportunities.
Machine Learning Projects for 2026: Build Your Portfolio
Discover the best Machine Learning Projects for 2026 to build a strong AI/ML portfolio, improve GATE DA preparation, and accelerate your data science career.
GATE DA Test Series: Why It Matters, What to Look For & How to Use It
How to choose a good GATE DA test series, how many mocks you need (60-70+), 5-step post-mock analysis framework, and a 45-day mock schedule. Includes a 10-point evaluation checklist.
GATE DA Marks vs Score: How GATE Scoring & Normalization Works
GATE DA marks vs score explained: official normalization formula, worked examples with real 2026 data (topper: 90 marks = 1000 score, qualifying: 26.4), category-wise cutoffs, and what GATE score you need for IIT/NIT M.Tech admission.
GATE DA Preparation for Working Professionals: A Practical Guide
How to prepare for GATE DA while working full-time: 12-month plan (2–3 hrs/day), subject prioritization for max marks in limited time, realistic score targets (40–60 marks achievable), and why you probably don't need to quit your job.
GATE Preparation for Working Professionals: Complete Strategy Guide
How to prepare for GATE while working full-time: realistic study plans (2–3 hrs/day), should-you-quit analysis, time management strategies, and which GATE papers suit working professionals best.